Synthesis of linear antenna array using genetic algorithm to reduce peak sidelobe level

Khalid, Amina; Sheikh, Shahzad Amin; Shah, Ijteba Ul Hasnain; Khan, Qasim Umar

doi:10.1109/eleco.2015.7394496

Cited by 12 publications

(4 citation statements)

References 12 publications

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“…Twenty years later, Johnson32 employed a GA to optimize the design of one-dimensional (1D) and two-dimensional (2D) array antennas, and the optimization process was shown to overcome the limitations associated with conventional optimization techniques when applied to antenna arrays. Marcano3334353637 applied GAs in the design of linear and plane array antennas. Application of GAs for implementing RCS reduction has also been pursued.…”

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confidence: 99%

Broadband and Broad-angle Polarization-independent Metasurface for Radar Cross Section Reduction

Sun

Chen

et al. 2017

Sci Rep

121

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In this work, a broadband and broad-angle polarization-independent random coding metasurface structure is proposed for radar cross section (RCS) reduction. An efficient genetic algorithm is utilized to obtain the optimal layout of the unit cells of the metasurface to get a uniform backscattering under normal incidence. Excellent agreement between the simulation and experimental results show that the proposed metasurface structure can significantly reduce the radar cross section more than 10 dB from 17 GHz to 42 GHz when the angle of incident waves varies from 10° to 50°. The proposed coding metasurface provides an efficient scheme to reduce the scattering of the electromagnetic waves.

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mentioning

confidence: 99%

Broadband and Broad-angle Polarization-independent Metasurface for Radar Cross Section Reduction

Sun

Chen

et al. 2017

Sci Rep

121

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“…The procedure is repeated several times until a stopping criterion is reached. This results in optimum solution to the problem [23].…”

Section: B Genetic Algorithmmentioning

confidence: 99%

Conflicting Parameter Pair Optimization for Linear Aperiodic Antenna Array using Chebyshev Taper based Genetic Algorithm

Yenneti

Aruna

Gottapu

2023

IJRITCC

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In this study, the peak side lobe level (PSLL) in the radiation pattern of a linear antenna array (LAA) is lowered without affecting its first null beam width (FNBW). Antenna array synthesis is commonly applied to achieve high directivity, low side lobes, high gain and desired null positions in the output radiation pattern. But output parameters like PSLL, null positions and beam width conflict with each other, i.e. as one parameter improves, the other deteriorates. To avoid this problem, a multi-objective optimization algorithm can be implemented, in which both the conflicting parameters can be simultaneously optimized. This work proposes a multi-objective algorithm, which takes advantages of the well-known Chebyshev tapering and genetic algorithm (GA), to lower the PSLL without broadening the beam further. Array elements are fed using Chebyshev tapered excitations while GA is incorporated to optimize the elemental spacing. The results of 28-element LAA are compared with those of multi-objective Cauchy mutated cat swarm optimization (MO-CMCSO) existing in literature, which has also been proven to be superior to multi-objective cat swarm optimization (MO-CSO) and multi-objective particle swarm optimization (MO-PSO). Results indicate that the proposed algorithm performs better by further reducing the PSLL from -21.57 dB (MO-CMCSO) to -28.18 dB, while maintaining the same FNBW of 7.4 degrees.

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“…These new offspring are declared fit for further reproduction using a fitness function, which depends on the problem. The steps selection, crossover and mutation are implemented multiple times until the optimum solutions are reached or a stopping criterion is met [33].…”

Section: 1genetic Algorithmmentioning

confidence: 99%

Multi-objective concurrent optimization of antenna array parameters for 5G applications

2022

IJATEE

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The escalating demand for high performance in wireless communication systems has led to the replacement of single antennas with antenna arrays for transmission or reception. An antenna array is typically a group of two or more similar antennas, which function as a single antenna. Due to this, antenna arrays offer higher gain, directivity, signal to noise ratio (SNR), agility and low side lobe level (SLL) [1]. SLL resembles the peak level of minor lobe compared to the main lobe level. It forms one of the key parameters in measurement of antenna array performance. Side lobes usually occur in the direction other than the desired beam direction, making it unwanted and creating interference.

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Synthesis of linear antenna array using genetic algorithm to reduce peak sidelobe level

Cited by 12 publications

References 12 publications

Broadband and Broad-angle Polarization-independent Metasurface for Radar Cross Section Reduction

Broadband and Broad-angle Polarization-independent Metasurface for Radar Cross Section Reduction

Conflicting Parameter Pair Optimization for Linear Aperiodic Antenna Array using Chebyshev Taper based Genetic Algorithm

Multi-objective concurrent optimization of antenna array parameters for 5G applications

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